Senior Data Scientist: ML, MLOps & Cloud Leadership

Data Wizards; Vlaams-Brabant; On-site; EUR 60,000 - 90,000; Full time

Job summary

Data Wizards in Belgium seeks a Data Scientist to lead end-to-end data science initiatives, from modeling to deployment across cloud environments. You will collaborate with data engineers and stakeholders to translate business needs into scalable AI solutions.

You’ll build and optimize machine learning models, drive POC experiments to production, and communicate insights clearly to non-technical teams, fostering data-driven decisions.

Qualifications

• Master’s degree in Computer Science, Engineering, AI, or a related technical field.

Responsibilities

• Leading the technical aspects of data science projects, from conception to deployment.
• Designing and implementing scalable data science solutions that integrate with existing infrastructures.
• Developing and optimizing machine learning models to drive actionable insights and automation.
• Collaborating with cross-functional teams, including data engineers and business stakeholders, to align technical solutions with strategic goals.
• Taking ownership of projects, ensuring high-quality deliverables in an agile environment.
• Providing technical leadership and mentorship to junior data scientists.
• Engaging in PoC projects and scaling them into production-ready solutions.
• Working in cloud-based environments and following MLOps best practices.
• Communicating insights and technical solutions effectively to diverse audiences.

Skills

Python

SQL

Machine learning frameworks

Big data technologies

Git

Apache Spark

MLOps

Data engineering principles

PoC projects

Power BI/Tableau

Autonomous

Curious

Solution-Oriented

Clear Communicator

Education

Master’s degree in Computer Science, Engineering, AI, or related technical field

Tools

Azure

AWS

GCP

PyTorch

TensorFlow

Scikit-learn

Job description

Data Wizards in Belgium seeks a Data Scientist to lead end-to-end data science initiatives, from modeling to deployment across cloud environments. You will collaborate with data engineers and stakeholders to translate business needs into scalable AI solutions.

You’ll build and optimize machine learning models, drive POC experiments to production, and communicate insights clearly to non-technical teams, fostering data-driven decisions.